PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations.
about
Comparative genomics of closely related Salmonella enterica serovar Typhi strains reveals genome dynamics and the acquisition of novel pathogenic elementsALK mutations confer differential oncogenic activation and sensitivity to ALK inhibition therapy in neuroblastomaUse of contemporary genetics in cardiovascular diagnosisA missense change in the ATG4D gene links aberrant autophagy to a neurodegenerative vacuolar storage diseaseInvestigating regulatory signatures of human autophagy related gene 5 (ATG5) through functional in silico analysisMechismo: predicting the mechanistic impact of mutations and modifications on molecular interactions.Identification of Deleterious SNPs and Their Effects on Structural Level in CHRNA3 Gene.Computational approaches to study the effects of small genomic variations.Hemorheological alterations in sickle cell anemia and their clinical consequences - The role of genetic modulators.NewProt - a protein engineering portal.Impact of genetic variation on three dimensional structure and function of proteins.TRPM4 non-selective cation channel variants in long QT syndrome.A novel mutation in TFL1 homolog affecting determinacy in cowpea (Vigna unguiculata).Comprehensive mutational profiling of core binding factor acute myeloid leukemia.Effects of Type 1 Diabetes Risk Alleles on Immune Cell Gene ExpressionFeature-based multiple models improve classification of mutation-induced stability changes.Variation Interpretation Predictors: Principles, Types, Performance, and Choice.Compound heterozygous PNPLA6 mutations cause Boucher-Neuhäuser syndrome with late-onset ataxia.Living laboratory: whole-genome sequencing as a learning healthcare enterprise.Majority vote and other problems when using computational tools.Prediction of the damage-associated non-synonymous single nucleotide polymorphisms in the human MC1R geneThe road from next-generation sequencing to personalized medicine.Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutationsBetter prediction of functional effects for sequence variants.Systematic Mapping of Protein Mutational Space by Prolonged Drift Reveals the Deleterious Effects of Seemingly Neutral MutationsCase-only exome sequencing and complex disease susceptibility gene discovery: study design considerations.Alagille Syndrome Mimicking Biliary Atresia in Early Infancy.Identification of novel drought-tolerant-associated SNPs in common bean (Phaseolus vulgaris)ENTPRISE: An Algorithm for Predicting Human Disease-Associated Amino Acid Substitutions from Sequence Entropy and Predicted Protein StructuresEvaluation of Presumably Disease Causing SCN1A Variants in a Cohort of Common Epilepsy Syndromes.PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.KinMutRF: a random forest classifier of sequence variants in the human protein kinase superfamily.Bioinformatics Methods and Tools to Advance Clinical Care. Findings from the Yearbook 2015 Section on Bioinformatics and Translational InformaticsComplementation of Yeast Genes with Human Genes as an Experimental Platform for Functional Testing of Human Genetic Variants.Structural insights and functional implications of inter-individual variability in β2-adrenergic receptorMitonuclear Epistasis for Development Time and Its Modification by Diet in Drosophila.Variants within the SP110 nuclear body protein modify risk of canine degenerative myelopathy.Genetic Association Analysis Reveals Differences in the Contribution of NOD2 Variants to the Clinical Phenotypes of Orofacial Granulomatosis.Recurrent HOXB13 mutations in the Dutch population do not associate with increased breast cancer risk.REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.
P2860
Q21266657-F94ED9AB-BBCA-425D-897E-51832D37EE02Q24310296-D3453F82-2C10-40F7-9E3B-0AF2903D06C1Q27025306-4B2B0ABF-55EB-48D4-BF6A-40C2F6B757D4Q27311249-01C8254E-A73F-4C61-8386-5A98A9DC167EQ28828390-D96392EA-4CDB-46BD-B457-47D6D1CF92B5Q30368617-CE1CE0AC-6D38-45C1-A93F-6E0152A5B6F1Q30374916-7C28EF60-6216-4029-A9B9-536D160E2A4DQ30378925-91F5DC11-1B19-4781-9A18-CAF3BEE06CC2Q30394889-1B22E360-BC4E-4403-A166-001D39B5C5C7Q30401707-74771BE9-7D78-4E13-8718-00255F85A8BDQ30491136-8C87B0F2-0E96-4A60-8396-06FA21D3EC6DQ33168429-0354085C-7E33-42D9-B55D-61529F91884DQ33358983-1BD3AF32-5C7D-4AD0-A724-D4BDF3FA4AC8Q33758306-CDEEF1D3-542B-4A68-A12C-7A35A2093BF1Q33836846-38CA4385-3A0D-4BCA-9694-D6921DC1B8C5Q33851583-A1D9D21E-7A5A-4CEF-B4AE-6BA95A891AEEQ34518645-905969E6-D0CA-46EC-B656-DEE0AB9C6ACCQ34577092-9514B457-03E6-41E3-821D-A9EA1D5E0155Q34995956-4FFDF33B-3EC5-4452-9793-5FB59ACAD042Q35184949-3777BCF1-52CE-4E56-B37A-1356910FFB84Q35202582-4F85A431-66F2-4623-BF5A-32846E1D8DF3Q35623147-03D65F2F-42E0-4005-B506-D0B7D348893DQ35628992-DE96C22C-0985-4A76-A4D9-2D30E26C084DQ35673957-AD19C77E-E43D-4280-9B67-1205DB43B1CBQ35746027-443338B6-8EB7-438C-B8CC-E8DB8A84E6C1Q35854930-17DAF263-81B8-4152-BB77-E90F2F14636FQ35855617-AB4D8648-326A-4A0E-942C-7C6DC217FE30Q35868903-6668F358-AFF0-41BF-947D-8AA1D7F969DDQ35959723-A439B72E-6860-4A3E-AB11-95C702611F00Q35962539-CE007FDC-E397-4689-8376-A4B5792E5FC5Q36029474-A1D1F6A5-FAA9-4F0E-9FCA-45BF77DDEB44Q36064404-DEF013FF-3EDD-40F1-B6AA-5963F290E7B0Q36103512-C1EE1FBD-95CB-45F8-9592-1ADBA3872ADBQ36291400-C70F9D58-4CA8-4E8D-A3EE-3EFBFCC9D6F1Q36796209-508ACF55-AB3C-4136-BA62-EA542A11B0EFQ36875674-47FC8C62-212D-401A-8983-D45401D3CBFBQ36978066-FDB63B2D-D1C9-48F0-AF6E-376111D5F89FQ37016579-9EC34C5C-A2C6-41BD-B728-40109C4A5044Q37101570-2389D65D-DF35-47BF-86A8-AC58907D0477Q37342106-700560C0-4FD2-4BD7-97CA-9116452732DA
P2860
PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 16 January 2014
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
PredictSNP: robust and accurat ...... of disease-related mutations.
@en
PredictSNP: robust and accurat ...... of disease-related mutations.
@nl
type
label
PredictSNP: robust and accurat ...... of disease-related mutations.
@en
PredictSNP: robust and accurat ...... of disease-related mutations.
@nl
prefLabel
PredictSNP: robust and accurat ...... of disease-related mutations.
@en
PredictSNP: robust and accurat ...... of disease-related mutations.
@nl
P2093
P2860
P50
P1476
PredictSNP: robust and accurat ...... of disease-related mutations.
@en
P2093
Antonin Pavelka
Eric D Wieben
Jaroslav Zendulka
Ondrej Salanda
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003440
P577
2014-01-16T00:00:00Z